CFD modeling and optimization of pre-cooling conditions in a cold room located in the South of Tunisia and filled with dates

  • Zina GhiloufiEmail author
  • Tahar Khir
Original Article


Thermal and aerodynamic study is performed on a cold store room installed in the south of Tunisia and filled with about 11 tons of dates to be cooled from harvest conditions to about 5 °C. The main object of this study is to define the suitable precooling conditions leading to homogeneous storage temperature inside the room. The considered cold room is of about 67 m3 of volume and equipped with an evaporator giving the required refrigeration capacity. Three-dimensional CFD model is established taking into consideration the local environmental parameters. The model SST k–ω is used to analyze the air turbulences. For normal design of the cold store room and during a precooling period of 40 h, the air velocity and temperature are determined in the different locations inside the room and vary between 0.25–7 m/s and 3–6 °C. While the product temperature remains higher than the required storage conditions of about 12 °C. A new cold store room design is proposed using specific aerodynamic air deflector profiles. That permits to improve the heat transfer between the cold air and product. The precooling period is reduced of about 10 h and the average product temperature reaches 6 °C.


Cold room Dates CFD k–ε model Air distribution Cooling rate 



  1. Allais I, Alvarez G (2001) Analysis of heat transfer during mist chilling of a packed bed of spheres simulating food stuffs. J Food Eng 49:37–47CrossRefGoogle Scholar
  2. Alvarez G, Flick D (2007) Modelling turbulent flow and heat transfer using macroporous media-approach used to predict cooling kinetics of stack of food products. J Food Eng 80:391–401CrossRefGoogle Scholar
  3. Alvarez G, Bournet PE, Flick D (2003) Two-dimensional simulation of turbulent flow and heat transfer through stacked spheres. Int J Heat Mass Transf 46:2459–2469CrossRefGoogle Scholar
  4. Ambaw A, Delele MA, Defraeye T, Ho QT, Opara LU, Nicolai BM, Verboven P (2013) The use of CFD to characterize and design post-harvest storage facilities: past, present and future. Comput Electron Agric 93:184–194CrossRefGoogle Scholar
  5. ANSYS Fluent Theory Guide 2013, ANSYS INC.
  6. ASHRAE Refrigeration Handbook (1998) Thermal properties of foodsGoogle Scholar
  7. Brosnan T, Sun D-W (2001) Precooling techniques and applications for horticultural products: a review. Int J Refrig 24:154–170CrossRefGoogle Scholar
  8. Chourasia MK, Goswami TK (2007) Steady state CFD modeling of airflow, heat transfer and moisture loss in a commercial potato cold store. Int J Refrig 30:672–689CrossRefGoogle Scholar
  9. Defraeye T, Lambrecht R, Tsige AA, Delele MA, Opara UL, Cronjé P, Verboven P, Nicolai B (2013) Forced-convective cooling of citrus fruit: package design. J Food Eng 118:8–18CrossRefGoogle Scholar
  10. Defraeye T, Lambrecht R, Delele MA, Tsige AA, Opara UL, Cronjé P, Verboven P, Nicolai B (2014) Forced-convective cooling of citrus fruit: cooling conditions and energy consumption in relation to package design. J Food Eng 121:118–127CrossRefGoogle Scholar
  11. Dehghannya J, Ngadi M, Vigneault C (2008) Simultaneous aerodynamic and thermal analysis during cooling of stacked spheres inside ventilated packages. Chem Eng Technol 31(11):1651–1659CrossRefGoogle Scholar
  12. Dehghannya J, Ngadi M, Vigneault C (2010) Mathematical modeling procedures for airflow, heat and mass transfer during forced convection cooling of produce: review. Food Energy Rev 2:227–243CrossRefGoogle Scholar
  13. Delele MA, Schenk A, Tijskens E, Ramon H, Nicolaï BM, Verboven P (2009) Optimization of the humidification of cold stores by pressurized water atomizers based on a multiscale CFD model. J Food Eng 91:228–239CrossRefGoogle Scholar
  14. Delele MA, Ngcobo MEK, Getahun ST, Chen L, Mellmann J, Opara UL (2013) Studying airflow and heat transfer characteristics of a horticultural produce packaging system using a 3-D CFD model. Part II: effect of package design. Postharvest Biol Technol 86:546–555CrossRefGoogle Scholar
  15. Gowda BS, Narasimham GSVL, Murthy KM (1997) Forced-air precooling of spherical foods in bulk: a parametric study. Int J Heat Fluid Flow 18:613–624CrossRefGoogle Scholar
  16. Ho SH, Rosario L, Rahman MM (2010) Numerical simulation of temperature and velocity in a refrigerated warehouse. Int J Refrig 33:1015–1025CrossRefGoogle Scholar
  17. Hoang ML, Verboven P, De BJ, Nicolaï BM (2000) Analysis of the air flow in a cold store by means of computational fluid dynamics. Int J Refrig 23:127–140CrossRefGoogle Scholar
  18. Hoang H-M, Steven D, Denis F, Onrawee L (2015) Preliminary study of airflow and heat transfer in a cold room filled with apple pallets: comparison between two modelling approaches and experimental results. Appl Therm Eng 76:367–381CrossRefGoogle Scholar
  19. Laguerre O, Ben Amara S, Alvarez G, Flick D (2008) Transient heat transfer by free convection in a packed bed of spheres: comparison between two modeling approaches and experimental results. Appl Therm Eng 28:14–24CrossRefGoogle Scholar
  20. lal Basediya A, Samuel DVK, Beera V (2013) Evaporative cooling system for storage of fruits and vegetables: a review. J Food Sci Technol 50:429–442CrossRefGoogle Scholar
  21. Liu CC, Ferng YM, Shih CK (2012) CFD evaluation of turbulence models for flow simulation of the fuel rod bundle with a spacer assembly. Appl Therm Eng J 40:389–396CrossRefGoogle Scholar
  22. Mandal D (2014) Development of multipurpose cold storage design software MCS_BCKV. Int J Eng Sci Adv Technol 6:519–535Google Scholar
  23. Menter F (1993) Zonal two equation k-w turbulence models for aerodynamic flows. In: 23rd fluid dynamics, plasmadynamics, and lasers conference. American Institute of Aeronautics and AstronauticsGoogle Scholar
  24. Mirade PS, Daudin JD (1998) Numerical simulation and validation of the air velocity field in a meat chiller. Int J Appl Sci Comput 5:11–24Google Scholar
  25. Mirade P-S, Daudin J-D (2006) Computational fluid dynamics prediction and validation of gas circulation in a cheese-ripening room. Int Dairy J 16:920–930CrossRefGoogle Scholar
  26. Nahor HB, Hoang ML, Verboven P, Baelmans M, Nicola BM (2005) CFD model of the airflow, heat and mass transfer in cool stores. Int J Refrig 28:368–380CrossRefGoogle Scholar
  27. Pathare PB, Opara UL, Vigneault C, Delele MA, Al-Said FAJ (2012) Design of packaging vents for cooling fresh horticultural produce. Food Bioprocess Technol 5:2031–2045CrossRefGoogle Scholar
  28. Raval AH, Solanki SC, Yadav R (2013) A simplified heat transfer model for predicting temperature change inside food package kept in cold room. J Food Sci Technol 50:257–265CrossRefGoogle Scholar
  29. Rinaldi M, Cordioli M, Barbanti D (2017) Investigation on temperature fields in industrial chilling of pork legs for PDO Parma ham production and coupled temperature/microbial growth simulation. J Food Sci Technol 54:18–25CrossRefGoogle Scholar
  30. Tapsoba M, Moureh J, Flick D (2006) Airflow patterns in an enclosure loaded with slotted pallets. Int J Refrig 29:899–910CrossRefGoogle Scholar
  31. Tressler DK, Van Arsdel WB, Copley MJ, Woolrich WR (1968) The freezing preservation of foods. AVI Publishing Company, WestportGoogle Scholar
  32. Verboven P, Flick D, Nicola BM, Alvarez G (2006) Modelling transport phenomena in refrigerated food bulks, packages and stacks: basics and advances. Int J Refrig 29:985–997CrossRefGoogle Scholar
  33. Vigneault C, de Castro L (2005) Produce-simulator property evaluation for indirect airflow distribution measurement through horticultural crop package. J Food Agric Environ 3:67–72Google Scholar
  34. Wakao N, Kaguei S (1982) Heat and mass transfer in packed bed. G.a.B Science, New YorkGoogle Scholar
  35. Zou Q, Opara LU, McKibbin R (2006) A CFD modelling system for airflow and heat transfer in ventilated packaging for fresh foods I: initial analysis and development of mathematical models. J Food Eng 77:1037–1047CrossRefGoogle Scholar

Copyright information

© Association of Food Scientists & Technologists (India) 2019

Authors and Affiliations

  1. 1.Mechanical, Modeling, Energy and Materials Research Unit, M2EM, National Engineering School of Gabes ENIGUniversity of GabesGabèsTunisia

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